Conditional Local Distance Correlation for Manifold-Valued Data. - Wenliang Pan; Xueqin Wang; Canhong Wen; Martin Styner; Hongtu Zhu (IPMI, 2017)

Adaptive Exponential Power Depth with Application to Classification. - Yunlu Jiang; Canhong Wen; Xueqin Wang (J. Classif., 2018)

Image denoising via K-SVD with primal-dual active set algorithm. - Quan Xiao; Canhong Wen; Zirui Yan (WACV, 2020)

Genome-wide association studies of brain imaging data via weighted distance correlation. - Canhong Wen; Yuhui Yang; Quan Xiao; Meiyan Huang; Wenliang Pan (Bioinform., 2020)

Co-sparse reduced-rank regression for association analysis between imaging phenotypes and genetic variants. - Canhong Wen; Hailong Ba; Wenliang Pan; Meiyan Huang (Bioinform., 2021)

Best Subset Selection in Reduced Rank Regression. - Canhong Wen; Ruipeng Dong; Xueqin Wang; Weiyu Li; Heping Zhang (CoRR, 2022)

Simultaneous Dimension Reduction and Variable Selection for Multinomial Logistic Regression. - Canhong Wen; Zhenduo Li; Ruipeng Dong; Yijin Ni; Wenliang Pan (INFORMS J. Comput., 2023)

ℓ0 Trend Filtering. - Canhong Wen; Xueqin Wang; Aijun Zhang (INFORMS J. Comput., 2023)

Stability Approach to Regularization Selection for Reduced-Rank Regression. - Canhong Wen; Qin Wang; Yuan Jiang (J. Comput. Graph. Stat., 2023)

Communication-efficient estimation for distributed subset selection. - Yan Chen; Ruipeng Dong; Canhong Wen (Stat. Comput., 2023)

SWGP: Semi-supervised clustering via Wasserstein generative adversarial network with gradient penalty for uncovering brain disease heterogeneity from medical images. - Shaopeng Wei; Canhong Wen; Haizhu Tan; Chiyu Wei (IJCNN, 2024)

Subset Selection in Support Vector Machine. - Jiangshuo Zhao; Canhong Wen (IJCNN, 2024)